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Cluster management APIs have been consistently added to recent versions of Apache Solr to make designing of monitoring system for Solr easier. However, those APIs have always required an advanced level of knowledge of the pre-checks and the APIs themselves. The cluster management framework in Solr is aimed at making cluster management easier. Combination of metrics reporting, triggers, and recipes would allow users to configure actions based on triggers comprising of metrics or changes to the cluster state e.g. auto-addition of replicas to achieve a desired replication factor when a new node is added to the SolrCloud cluster. In this presentation, I would provide an overview of the cluster management framework, how it works, and its components i.e. metrics, triggers, and recipes. I will also talk about ways to extend those components to suit specific use-cases.

Anshum Gupta is a Lucene/Solr committer and PMC member with over 10 years of experience with search. He is a part of the search team at IBM Watson, where he works on extending the limits and improving SolrCloud. Prior to this, he was a part of the open source team at Lucidworks and... Read More →